Top Data & Analytics Jobs in Fayetteville, AR

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Senior Product Analyst will lead analytics for the Growth & LTV team, focusing on account and program performance, designing experiments, and ensuring data-driven product decisions.

The Cloud Data Architect will design scalable data architectures for SaaS solutions, set data standards, collaborate with engineering, and ensure data governance and optimization. Requires advanced SQL and cloud platform proficiency.

Seeking a Principal Solutions Specialist with deep expertise in RIA data management and client reporting, focusing on performance reporting workflows. The role includes collaborating with teams to enhance data capabilities and ensure accurate reporting across platforms.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.